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Build auditable, governed MCP AI workflows with a constitutional kernel.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "arifOS — Constitutional AI Kernel" MCP server from askskill: Run: claude mcp add --transport http 'io-github-ariffazil-arifos' 'https://arifos.arif-fazil.com/mcp'
Using arifOS Constitutional AI Kernel, design a complete workflow for an enterprise knowledge-base Q&A agent: explain how to connect the 13 MCP tools, use 888_JUDGE for response verdicts, and write key decisions into the VAULT999 ledger. Include a module diagram and implementation steps.
A governed agent architecture plan with tool orchestration, verdict logic, audit logging, and implementation steps.
Use arifOS to design an AI content compliance review system: define constitutional rules, risk levels, 888_JUDGE decision points, and VAULT999 audit fields. Include workflow details, example rules, and exception-handling strategies.
An actionable AI compliance review plan with rules, decision flow, and audit field design.
I want an auditable trace chain for a multi-tool AI system. Based on arifOS, explain how to record each MCP tool call, verdict result, and state change, and provide a developer-friendly log structure and monitoring recommendations.
An MCP audit traceability plan covering log structure, key events, monitoring metrics, and implementation guidance.
Govern AI agents with constitutional reasoning, evidence checks, judgment, and controlled execution.
Connect AI to a knowledge base for semantic retrieval and compliant content management.
Review contracts, score AI compliance risks, and check EU/CN rules and watermarks.
Assess EU AI Act compliance locally, obligations, deadlines, and documentation gaps.
Retrieve and verify audit regulations, clauses, and audit item references.
Enforce compliant AI agent tool calls with deterministic decisions and audit trails.